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Mistral 7B Instruct V0.3 AWQ by Sharvin-UD

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  4-bit   Autotrain compatible   Awq   Conversational   Endpoints compatible   Instruct   Mistral   Quantized   Region:us   Safetensors

Mistral 7B Instruct V0.3 AWQ Benchmarks

LLME Score: 0.21368
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mistral 7B Instruct V0.3 AWQ Parameters and Internals

LLM NameMistral 7B Instruct V0.3 AWQ
Repository 🤗https://huggingface.co/Sharvin-UD/Mistral-7B-Instruct-v0.3-AWQ 
Base Model(s)  HachiML/Mistral-7B-Instruct-v0.3-dpo-lora   HachiML/Mistral-7B-Instruct-v0.3-dpo-lora
Model Size7b
Required VRAM4.2 GB
Updated2024-09-07
MaintainerSharvin-UD
Model Typemistral
Instruction-BasedYes
Model Files  4.2 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32768
Torch Data Typefloat16
Mistral 7B Instruct V0.3 AWQ (Sharvin-UD/Mistral-7B-Instruct-v0.3-AWQ)

Best Alternatives to Mistral 7B Instruct V0.3 AWQ

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Context / RAM
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Mistral 7B Instruct V0.2 AWQ32K / 4.2 GB50
Mistral 7B Instruct V0.3 AWQ32K / 4.2 GB1062522
Mistral 7B Instruct V0.2 AWQ32K / 4.2 GB9171941
Mistral 7B Instruct V0.1 AWQ32K / 4.2 GB21561137
Breeze 7B Instruct V1.0 AWQ32K / 4.6 GB440
...reeze 7B 32K Instruct V1.0 AWQ32K / 4.7 GB60
...Instruct V0.2 AWQ 4bit Smashed32K / 4.2 GB111
Mistral 7B Instruct V0.3 AWQ32K / 4.2 GB1751
Mistral 7B Instruct 32K AWQ32K / 4.2 GB71
Breeze 7B Instruct V1.0 AWQ32K / 4.6 GB71
Note: green Score (e.g. "73.2") means that the model is better than Sharvin-UD/Mistral-7B-Instruct-v0.3-AWQ.

Rank the Mistral 7B Instruct V0.3 AWQ Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241110
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